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da-multilingual-bias-detector
himel7/da-multilingual-bias-detector
da-multilingual-bias-detector is a text classification model from himel7. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This is a model for bias detection in news texts in multiple languages.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Feb 22, 2026
- Updated
- Feb 22, 2026
- SHA
- bc0df998
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Base models
Datasets
Model card
From the Hugging Face model README
Model Card for Model ID
This is a model for bias detection in news texts in multiple languages.
This model is distilled from a pre-trained domain adapted and fine tuned bias detection model, hence it transfers the domain-adapted learning approach along with the fine-tuning to a multilingual xlm-roberta base model.
On BABE Test Set in English: Accuracy- 0.826 Macro F1- 0.8324
On BABE Test Set in Hindi: Accuracy- 0.798 Macro F1- 0.8206
On BABE Test Set in Bengali: Accuracy- 0.757 Macro F1- 0.797
You can add further metrics in other languages here...
Model Details
Model Description
<!-- Provide a longer summary of what this model is. -->This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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Developed by: Himel Ghosh
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Language(s) (NLP): English, Italian, German, etc.
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Finetuned from model xlm-roberta: Distilled from mediabiasgroup/da-roberta-babe-ft
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- apache-2.0
- Languages
- en, de, it, fr, es, nl
- Created
- Feb 22, 2026
- Updated
- Feb 22, 2026